Working at Freudenberg: We will wow your world!

Responsibilities:

Build AI-enabled application components with Azure AI Foundry / Azure OpenAI, including RAG patterns, grounding strategies, and safe prompt designs.

Design and implement Copilot solutions with Microsoft Copilot Studio, including conversational flows, prompt engineering, orchestration logic, plugins/actions, and required integrations.

Develop backend services and extensibility components (APIs, custom connectors, automation) using Java Script/Type Script, C#, or Python; integrate with Microsoft Graph, Dataverse, Microsoft Fabric, Logic Apps, and M365 extensibility (e.g., Teams).

Apply cloud-native and event-driven patterns—stateless services, scalability, environment separation, and asynchronous messaging (e.g., Azure Event Hubs).

Deliver secure, end-to-end solutions covering authentication, authorization (Entra ID/RBAC/managed identities), setting strategies, lifecycle governance, and compliance with corporate data protection policies.

Support Dev Ops and CI/CD for Copilot and AI assets: Git-based workflows, versioning, automated testing, Git Hub Action pipelines, and environment promotion/release management.

Implement monitoring, telemetry, analytics, and performance optimization using Azure Application Insights, Azure Monitor, and Power BI, ensuring reliability and continuous improvement.

Apply Responsible AI practices — testing, evaluation, guardrails/safety, and continuous improvement of copilots and AI experiences.

Translate business requirements into scalable, secure, and maintainable AI/Copilot architectures,



producing design artifacts and implementation guidelines.

Collaborate with product owners, architects, and business stakeholders; work with data engineers, platform, and security teams to deliver end-to-end solutions; provide documentation, best practices, and handover/enablement materials.

Stay up to date with emerging technologies and industry trends and apply them to enhance software engineering processes and technologies for the organization’s

Qualifications:

University degree in Computer Science, Artificial Intelligence, Machine Learning, or a related field, with a strong foundation in AI principles and methodologies or equivalent combination of education and experience

more than five years in Data & AI Jobs; Business knowledge: None

Must-Have Skills A. Copilot, AI & Microsoft Ecosystem Integration • Microsoft Copilot Studio Experience with conversational design, prompt engineering, orchestration flows, and plugin/action development.

• Azure AI Foundry / Azure OpenAI solutions Practical implementation of prompt optimization, RAG, grounding strategies, vector search, and safe production usage

• Microsoft ecosystem integration Strong integration skills across Microsoft Graph,



Microsoft Fabric, Dataverse, Logic Apps, and M365 extensibility (Teams, Outlook).

• APIs, connectors & automation Designing and building APIs, custom connectors, and automation workflows to extend Copilot and AI-driven solutions.

• Responsible AI & security fundamentals Secure-by-design AI solutions using Entra ID, RBAC, environment strategies, data access controls, and governance alignment. B. Software Engineering, Platform & Delivery

• Strong software engineering foundation Hands-on development using Java Script/Type Script, C#, or Python, with clean architecture and scalable patterns

• Cloud-native application architecture on Azure Stateless services, event-driven patterns, and integration with Fabric / One Lake–based data platforms.

• Dev Ops for AI and application solutions Git-based development, CI/CD pipelines, automated testing, and environment separation using Git Hub Enterprise Cloud

• Monitoring, telemetry & observability Use of Application Insights, Azure Monitor, and analytics (e.g. Power BI) to operate and improve AI-enabled solutions.

• Business-facing solution delivery Ability to work with stakeholders, translate requirements into scalable Copilot and AI solutions, and iterate based on feedback. Nice to Have

• Azure OpenAI fine-tuning and advanced vector search patterns • Power Platform UI extensions (Power Apps) • Fin Ops-aware AI and application design

• Experience with hybrid Azure–Fabric architectures

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📌 Senior Professional Consultant AI, Software Engineer (India)
🏢 Freudenberg
📍 India